create_dl_layer_identity T_create_dl_layer_identity CreateDlLayerIdentity CreateDlLayerIdentity create_dl_layer_identity (Operator)
Name
create_dl_layer_identity T_create_dl_layer_identity CreateDlLayerIdentity CreateDlLayerIdentity create_dl_layer_identity
— Create an identity layer.
Signature
void CreateDlLayerIdentity (const HTuple& DLLayerInput , const HTuple& LayerName , const HTuple& GenParamName , const HTuple& GenParamValue , HTuple* DLLayerIdentity )
HDlLayer HDlLayer ::CreateDlLayerIdentity (const HString& LayerName , const HTuple& GenParamName , const HTuple& GenParamValue ) const
HDlLayer HDlLayer ::CreateDlLayerIdentity (const HString& LayerName , const HString& GenParamName , const HString& GenParamValue ) const
HDlLayer HDlLayer ::CreateDlLayerIdentity (const char* LayerName , const char* GenParamName , const char* GenParamValue ) const
HDlLayer HDlLayer ::CreateDlLayerIdentity (const wchar_t* LayerName , const wchar_t* GenParamName , const wchar_t* GenParamValue ) const
(Windows only)
Description
The operator create_dl_layer_identity create_dl_layer_identity CreateDlLayerIdentity CreateDlLayerIdentity CreateDlLayerIdentity create_dl_layer_identity
creates an identity layer
whose handle is returned in DLLayerIdentity DLLayerIdentity DLLayerIdentity DLLayerIdentity DLLayerIdentity dllayer_identity
.
The parameter DLLayerInput DLLayerInput DLLayerInput DLLayerInput DLLayerInput dllayer_input
determines the feeding input layer and
expects the layer handle as value.
The parameter LayerName LayerName LayerName LayerName layerName layer_name
sets an individual layer name.
Note that if creating a model using create_dl_model create_dl_model CreateDlModel CreateDlModel CreateDlModel create_dl_model
each layer of
the created network must have a unique name.
The following generic parameters GenParamName GenParamName GenParamName GenParamName genParamName gen_param_name
and the corresponding
values GenParamValue GenParamValue GenParamValue GenParamValue genParamValue gen_param_value
are supported:
'is_inference_output' "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" :
Determines whether apply_dl_model apply_dl_model ApplyDlModel ApplyDlModel ApplyDlModel apply_dl_model
will include the output of this
layer in the dictionary DLResultBatch DLResultBatch DLResultBatch DLResultBatch DLResultBatch dlresult_batch
even without specifying this
layer in Outputs Outputs Outputs Outputs outputs outputs
('true' "true" "true" "true" "true" "true" ) or not ('false' "false" "false" "false" "false" "false" ).
Default: 'false' "false" "false" "false" "false" "false"
Certain parameters of layers created using this operator
create_dl_layer_identity create_dl_layer_identity CreateDlLayerIdentity CreateDlLayerIdentity CreateDlLayerIdentity create_dl_layer_identity
can be set and retrieved using
further operators.
The following tables give an overview, which parameters can be set
using set_dl_model_layer_param set_dl_model_layer_param SetDlModelLayerParam SetDlModelLayerParam SetDlModelLayerParam set_dl_model_layer_param
and which ones can be retrieved
using get_dl_model_layer_param get_dl_model_layer_param GetDlModelLayerParam GetDlModelLayerParam GetDlModelLayerParam get_dl_model_layer_param
or get_dl_layer_param get_dl_layer_param GetDlLayerParam GetDlLayerParam GetDlLayerParam get_dl_layer_param
. Note, the
operators set_dl_model_layer_param set_dl_model_layer_param SetDlModelLayerParam SetDlModelLayerParam SetDlModelLayerParam set_dl_model_layer_param
and get_dl_model_layer_param get_dl_model_layer_param GetDlModelLayerParam GetDlModelLayerParam GetDlModelLayerParam get_dl_model_layer_param
require a model created by create_dl_model create_dl_model CreateDlModel CreateDlModel CreateDlModel create_dl_model
.
Generic Layer Parameters
set
get
'is_inference_output' "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output"
'num_trainable_params' "num_trainable_params" "num_trainable_params" "num_trainable_params" "num_trainable_params" "num_trainable_params"
Execution Information
Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.
Parameters
DLLayerInput DLLayerInput DLLayerInput DLLayerInput DLLayerInput dllayer_input
(input_control) dl_layer →
HDlLayer , HTuple HHandle HTuple Htuple (handle) (IntPtr ) (HHandle ) (handle )
Feeding layer.
LayerName LayerName LayerName LayerName layerName layer_name
(input_control) string →
HTuple str HTuple Htuple (string) (string ) (HString ) (char* )
Name of the output layer.
GenParamName GenParamName GenParamName GenParamName genParamName gen_param_name
(input_control) attribute.name(-array) →
HTuple MaybeSequence[str] HTuple Htuple (string) (string ) (HString ) (char* )
Generic input parameter names.
Default value: []
List of values: 'is_inference_output' "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output" "is_inference_output"
GenParamValue GenParamValue GenParamValue GenParamValue genParamValue gen_param_value
(input_control) attribute.value(-array) →
HTuple MaybeSequence[Union[int, float, str]] HTuple Htuple (string / integer / real) (string / int / long / double) (HString / Hlong / double) (char* / Hlong / double)
Generic input parameter values.
Default value: []
Suggested values: 'true' "true" "true" "true" "true" "true" , 'false' "false" "false" "false" "false" "false"
DLLayerIdentity DLLayerIdentity DLLayerIdentity DLLayerIdentity DLLayerIdentity dllayer_identity
(output_control) dl_layer →
HDlLayer , HTuple HHandle HTuple Htuple (handle) (IntPtr ) (HHandle ) (handle )
Identity layer.
Example (HDevelop)
* Create a model that concatinates the output of a convolution layer.
create_dl_layer_input ('input', [10,10,3], [], [], DLLayerInput)
create_dl_layer_convolution (DLLayerInput, 'conv', 3, 1, 1, 8, 1, 'none', \
'none', [], [], DLLayerConvolution)
* Using the same layer multiple times as input does not work, so make a copy.
create_dl_layer_identity (DLLayerConvolution, 'conv_copy', [], [], \
DLLayerIdentity)
create_dl_layer_concat ([DLLayerConvolution, DLLayerIdentity], 'concat', \
'depth', [], [], DLLayerConcat)
create_dl_model (DLLayerConcat, DLModelHandle)
Possible Successors
create_dl_layer_elementwise create_dl_layer_elementwise CreateDlLayerElementwise CreateDlLayerElementwise CreateDlLayerElementwise create_dl_layer_elementwise
,
create_dl_layer_concat create_dl_layer_concat CreateDlLayerConcat CreateDlLayerConcat CreateDlLayerConcat create_dl_layer_concat
Module
Deep Learning Training